________ is a critical aspect of data warehousing that includes reconciling conflicting data definitions and formats organization-wide.
A) Data modification
B) Fact refinement
C) Data purification
D) Data cleansing

Question

Quizplus · Accepted Answer

Data cleansing refers to the process of detecting and correcting or removing inconsistent, inaccurate, or incomplete data from across an organization. This is a critical aspect of data warehousing as it helps in reconciling conflicting data definitions and formats. It involves cleaning data by removing duplicates, correcting invalid values, standardizing data formats, and resolving data conflicts. It ensures that the data stored in the data warehouse is accurate, consistent, and appropriate for analysis and decision-making.

________ Is a Critical Aspect of Data Warehousing That Includes